20132026

Research activity per year

Personal profile

Fingerprint

Dive into the research topics where Loïc Le Folgoc is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Reducing Variability of Multiple Instance Learning Methods for Digital Pathology

    Mammadov, A., Le Folgoc, L., Hocquet, G. & Gori, P., 1 Jan 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 506-516 11 p. (Lecture Notes in Computer Science; vol. 15966 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study

    Mammadov, A., Le Folgoc, L., Adam, J., Buronfosse, A., Hayem, G., Hocquet, G. & Gori, P., 1 Nov 2025, In: Journal of Medical Imaging. 12, 6, 061404.

    Research output: Contribution to journalArticlepeer-review

  • Dense Self-Supervised Learning for Medical Image Segmentation

    Seince, M., Le Folgoc, L., Facury de Souza, L. A. & Angelini, E., 1 Jan 2024, In: Proceedings of Machine Learning Research. 250, p. 1371-1386 16 p.

    Research output: Contribution to journalConference articlepeer-review

  • Unsupervised Similarity Learning for Image Registration with Energy-Based Models

    Grzech, D., Folgoc, L. L., Azampour, M. F., Vlontzos, A., Glocker, B., Navab, N., Schnabel, J. & Kainz, B., 1 Jan 2024, Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings. Modat, M., Špiclin, Ž., Hering, A., Simpson, I., Bastiaansen, W. & Mok, T. C. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 229-240 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15249 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • A variational Bayesian method for similarity learning in non-rigid image registration

    Grzech, D., Azampour, M. F., Glocker, B., Schnabel, J., Navab, N., Kainz, B. & Folgoc, L. L., 1 Jan 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 119-128 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Patient-specific 3d cellular automata nodule growth synthesis in lung cancer without the need of external data

    Manzanera, O. E. M., Ellis, S., Baltatzis, V., Nair, A., Le Folgoc, L., Desai, S., Glocker, B. & Schnabel, J. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 925-928 4 p. 9433893. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data

    Baltatzis, V., Le Folgoc, L., Ellis, S., Manzanera, O. E. M., Bintsi, K. M., Nair, A., Desai, S., Glocker, B. & Schnabel, J. A., 1 Jan 2021, Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Proceedings. Reyes, M., Henriques Abreu, P., Cardoso, J., Hajij, M., Zamzmi, G., Rahul, P. & Thakur, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-64 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12929 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification

    Baltatzis, V., Bintsi, K. M., Folgoc, L. L., Martinez Manzanera, O. E., Ellis, S., Nair, A., Desai, S., Glocker, B. & Schnabel, J. A., 1 Jan 2021, Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Schnabel, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 201-211 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12928 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training

    Qiu, H., Qin, C., Le Folgoc, L., Hou, B., Schlemper, J. & Rueckert, D., 1 Jan 2020, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers. Pop, M., Sermesant, M., Camara, O., Zhuang, X., Li, S., Young, A., Mansi, T. & Suinesiaputra, A. (eds.). Springer, p. 186-194 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12009 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models

    Biffi, C., Cerrolaza, J. J., Tarroni, G., Bai, W., De Marvao, A., Oktay, O., Ledig, C., Le Folgoc, L., Kamnitsas, K., Doumou, G., Duan, J., Prasad, S. K., Cook, S. A., O'Regan, D. P. & Rueckert, D., 1 Jun 2020, In: IEEE Transactions on Medical Imaging. 39, 6, p. 2088-2099 12 p., 8950467.

    Research output: Contribution to journalArticlepeer-review

    Open Access